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  1. Stackups
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  4. Container Tools
  5. Docker Swarm Visualizer vs Watchtower

Docker Swarm Visualizer vs Watchtower

OverviewComparisonAlternatives

Overview

Docker Swarm Visualizer
Docker Swarm Visualizer
Stacks25
Followers108
Votes3
Watchtower
Watchtower
Stacks30
Followers36
Votes6
GitHub Stars24.0K
Forks1.0K

Docker Swarm Visualizer vs Watchtower: What are the differences?

Introduction

Docker Swarm Visualizer and Watchtower are popular tools in the Docker ecosystem, each serving a unique purpose in managing and visualizing containers. Understanding the key differences between these tools can help in deciding which one to use based on specific requirements.

  1. Deployment Method: Docker Swarm Visualizer is primarily used for visualizing Docker Swarm clusters, providing a graphical representation of containers running on multiple nodes. In contrast, Watchtower is a tool specifically designed for automatically updating container images, ensuring that the latest versions are always running without manual intervention.

  2. Functionality: Docker Swarm Visualizer focuses on monitoring and visualizing the state of a Docker Swarm cluster, offering insights into resource allocation, service status, and container distribution. On the other hand, Watchtower's main function is to manage the continuous deployment and updates of Docker containers, checking for new versions of images and automatically replacing outdated containers.

  3. User Interaction: Docker Swarm Visualizer is mainly aimed at administrators and operators who need a visual overview of their Swarm cluster's architecture, making it easier to identify potential issues and optimize resource utilization. In contrast, Watchtower is oriented towards developers and system administrators looking to streamline the process of updating container images without manual intervention.

  4. Monitoring Capabilities: While Docker Swarm Visualizer provides real-time monitoring and visualization of containerized applications across a Swarm cluster, Watchtower focuses on ensuring the security and efficiency of containerized deployments by automatically updating images to their latest versions.

Summary

In conclusion, Docker Swarm Visualizer is a visualization tool that helps monitor Docker Swarm clusters, whereas Watchtower is specifically designed for automatic container image updates.

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Detailed Comparison

Docker Swarm Visualizer
Docker Swarm Visualizer
Watchtower
Watchtower

Each node in the swarm will show all tasks running on it. When a service goes down it'll be removed. When a node goes down it won't, instead the circle at the top will turn red to indicate it went down. Tasks will be removed.

It is an application that will monitor your running Docker containers and watch for changes to the images that those containers were originally started from. If it detects that an image has changed, it will automatically restart the container using the new image.

-
Notifications; Container selection; Private registries; Linked containers; Remote hosts; Secure connections; Lifecycle hooks
Statistics
GitHub Stars
-
GitHub Stars
24.0K
GitHub Forks
-
GitHub Forks
1.0K
Stacks
25
Stacks
30
Followers
108
Followers
36
Votes
3
Votes
6
Pros & Cons
Pros
  • 1
    Stateless
  • 1
    Reverse proxy support
  • 1
    Easy to deploy
Pros
  • 2
    Automation Friendly
  • 1
    Easy setup
  • 1
    Open-source
  • 1
    Great community
  • 1
    Small footprint
Integrations
Docker
Docker
Docker Swarm
Docker Swarm
Mattermost
Mattermost
Slack
Slack
Docker
Docker
Docker Compose
Docker Compose
Microsoft Teams
Microsoft Teams
Telegram
Telegram
Discord
Discord
GNU Bash
GNU Bash
Hangouts
Hangouts

What are some alternatives to Docker Swarm Visualizer, Watchtower?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

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